An efficient method of road extraction in SAR image

Min Wang, Yanning Zhang, Lili Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A new method of the Road extraction in synthetic aperture radar (SAR) image is proposed in this paper. Roads in a high resolution SAR image can be modeled as a homogeneous dark area bounded by two parallel lines. The fundamental is based on linear extraction and improved Hough transform. Combining Hough transform and the partition of the line, the problem of location of line segments was solved. The improved Hough transform is tested on synthetic images and noisy images. The experimental results show the method's validity.

Original languageEnglish
Title of host publicationAdvances in Natural Computation - Second International Conference, ICNC 2006, Proceedings
PublisherSpringer Verlag
Pages710-713
Number of pages4
ISBN (Print)3540459073, 9783540459071
DOIs
StatePublished - 2006
Event2nd International Conference on Natural Computation, ICNC 2006 - Xi'an, China
Duration: 24 Sep 200628 Sep 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4222 LNCS - II
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Natural Computation, ICNC 2006
Country/TerritoryChina
CityXi'an
Period24/09/0628/09/06

Keywords

  • Hough transform
  • Road extraction
  • SAR image

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